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llama.cpp removes GLM5-Next sparse attention gather path

The llama.cpp project has released an update, version b11453, which removes the gather path for GLM5-Next sparse attention. This change simplifies the attention mechanism by relying on a plain matmul and softmax, with flash attention backends now handling masked rows more efficiently. The update also adjusts how padding is mapped and how the slot mask is used. AI

IMPACT This update optimizes the attention mechanism in llama.cpp, potentially leading to faster inference for models like GLM5-Next.

RANK_REASON This is a code update for an open-source project related to LLM inference, specifically optimizing attention mechanisms. [lever_c_demoted from research: ic=1 ai=1.0]

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp removes GLM5-Next sparse attention gather path

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This is a code update for an open-source project related to LLM inference, specifically optimizing attention mechanisms. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. llama.cpp — Releases TIER_1 English(EN) · ServeurpersoCom ·

    b11453: llama: remove the gather path of the glm5-next sparse attention (#30042)

    <p>The gather path attended over the selected latents with a plain<br /> matmul and softmax. It only ran with n_ubatch &lt;= 16, and the flash<br /> attention backends now skip the masked rows through n_kv_max, so<br /> the scatter path covers every case.</p> <p>Drop the gather f…